Zihao
Liu
a,
Yonghua
Guo
ab,
Qingfeng
Ge
c and
Xinli
Zhu
*a
aCollaborative Innovation Center of Chemical Science and Engineering, Key Laboratory for Green Chemical Technology of Ministry of Education, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China. E-mail: xinlizhu@tju.edu.cn
bCOSL Production Optimization, China Oilfield Services Limited, Tianjin 300452, China
cDepartment of Chemistry and Biochemistry, Southern Illinois University, Carbondale, IL 62901, USA
First published on 13th January 2025
Coordinatively unsaturated metal cations and oxygen anions on the surface of amphoteric metal oxides serve as acid and base centers, respectively, enabling a number of acid/base-catalyzed reactions. In particular, the O atom of oxygenates can readily coordinate with surface metal cations and can therefore initiate various reactions that are important for upgrading biomass-derived oxygenates. Metal oxide catalysts prepared via conventional methods expose various facets with distinct properties, making it difficult to elucidate the reaction chemistry and mechanism mediated on metal oxides at an atomic level. Advances in synthesis of nanocrystals of metal oxides with predominantly exposing a certain facet allow one to explore the reaction chemistry on well-defined metal oxide facets under real reaction conditions and thus may provide a powerful approach to investigate the facet-dependent structure–activity relationships of metal oxide-mediated reactions. In this perspective, we first elaborated on the fine structure and properties of various facets of TiO2 and CeO2 and then surveyed the dehydration/dehydrogenation of alcohols, ketonization of carboxylic acids, and aldol condensation of ketones and aldehydes mediated by metal oxides. In particular, we discussed the relationship between catalytic performances and the facet-dependent acid–base property and fine surface geometrical structure. Finally, we described challenges and opportunities associated with future research on metal oxide-mediated reactions via crystal facet engineering.
The strength of the acid and base sites on a metal oxide surface is largely dependent on the coordination state of the metal cation and oxygen anion, respectively. In general, lower the coordination number of a metal cation and oxygen anion, higher the ability to accept electrons and donate electrons and, therefore, stronger the acidity and basicity, respectively. In addition, the densities of acid and base sites are strongly dependent on surface configuration. Hence, both the density and strength of an acid–base pair are determined on the basis of the exposed facet of metal oxide.
In addition to the acid–base property, the catalytic performance of a metal oxide depends on the geometric configuration of acid and base sites, the presence of adsorbed H2O, and the presence of oxygen vacancies. For a certain metal oxide, these properties are largely determined by the exposed facets. However, metal oxide surfaces are complex and may expose various facets with different fractions. The distinct surface properties between various facets and the complex surface composition of facets make it difficult to identify the most active facet as well as to establish rigorous structure–activity relationships at an atomic level.
Investigating reactions using metal oxide catalysts with well-defined surface structures can certainly help understand the reaction chemistry mediated by acid–base pairs on metal oxides. To this end, the surface science approach using a single crystal of metal oxide with a controlled exposed facet has been extensively applied to study the reaction mechanism under high vacuum conditions.11–14 Although significant advances have been made, the pressure gap (high vacuum vs. atmospheric or high pressure) and material gap (extended surface vs. nanoparticle) between surface science and real reaction conditions may limit the application of the conclusions derived from the surface science experiments. On the other hand, the recent advances in the synthesis of nanocrystal catalysts with well-controlled exposed facets make the investigation of reactions under real conditions possible, and hence may bridge the “pressure gap” and “material gap”. Moreover, engineering the nanocrystals with well-controlled facets via advanced synthesis approaches allows one to investigate the reactions far beyond high vacuum conditions and can be extended to thermocatalysis, electrocatalysis and photocatalysis. Therefore, crystal-facet engineering provides a powerful approach to investigate the structure–activity relationship of reaction chemistry mediated by metal oxides at the atomic level.
As an alternative and/or supplementary resource to fossil fuels, the conversion of renewable biomass to sustainable fuels and chemicals plays an increasing role in the development of our society. The lignocellulose biomass can be decomposed to oxygenated hydrocarbons through pyrolysis, hydrolysis, liquefaction, and fermentation processes (Scheme 2).15,16 These oxygenates contain hydroxyl (–OH), carbonyl (–CO–), carboxyl (–COOH) and other functional groups, which result in high oxygen content, low heating value, low stability and high corrosiveness. In particular, the cellulose and hemicellulose of biomass can be decomposed to short-chain oxygenates, such as short-chain alcohols, ketones/aldehydes and carboxylic acids. Animal and vegetable fats and oils, as an important biomass resource, can be hydrolyzed to glycerol and long-chain carboxylic acids. In addition, fermentation of wet waste can produce C2–C8 volatile carboxylic acids.17,18 Thus, upgrading these oxygenates (alcohols, ketones/aldehydes, and carboxylic acids) into more stable and valuable fuels and chemicals is desirable. Indeed, the amphoteric metal oxides have been widely applied in these upgrading processes through catalyzing various organic reactions, such as dehydration, aldol condensation, ketonization and others,19–21 which produce valuable chemical products of olefins, longer chain ketones and aldehydes (Scheme 2). During these reactions, the oxygen atom of oxygenates readily coordinates to the surface coordinatively unsaturated metal cation (Lewis acid site) of the metal oxide, stabilizing the reactants and intermediates. In the meantime, the H atom from either the –OH group or C–H of the oxygenate reactant may be transferred to the surface coordinatively unsaturated O atom (base site) of the metal oxide to form a reactive intermediate and initiate the reaction. These reactions may strongly depend on the acid–base properties and the surface configurations of the metal oxide. Hence, this perspective focuses on the recent advances in crystal-facet engineering for the conversion of biomass-derived oxygenates on TiO2 and CeO2 metal oxides.
![]() | ||
Scheme 2 The origin of biomass-derived oxygenates (alcohols, carboxylic acids, and ketones/aldehydes) and their conversion into chemical products catalyzed by metal oxides. |
A number of reviews relating to the topic are available in the literature.22–25 These reviews mainly focused on the synthesis methods of metal oxides with different facets and reactions catalyzed by different facets of metal oxides. However, the analysis and summary of the structure–activity relationship between the metal oxide facet and catalytic performance at an atomic level are rare. In this perspective, we intend to summarize and analyze the advances in crystal-facet engineering for the conversion of biomass-derived oxygenates (alcohols, carboxylic acids and aldehydes/ketones) on different crystal facets of TiO2 and CeO2, focusing on the structure–activity relationship at the atomic level. We begin with the coordination environments and configuration structures of distinct crystal facets. Then, we discuss the structure–activity relationship between the crystal facet of metal oxide and the catalytic performance of biomass-derived oxygenates. Finally, we provide future challenges and opportunities in crystal-facet engineering.
In the bulk anatase TiO2, the O and Ti atoms (O3c and Ti6c) are coordinately saturated with three Ti and six O atoms, respectively. In contrast, the surface O and Ti atoms are typically coordinatively unsaturated. The fine coordination and configuration structures vary significantly on different facets (Fig. 1). The TiO2(101) facet shows a sawtooth-like structure with O2c in the first layer and Ti5c and O3c in the second layer. The shortest distances between Ti5c–Ti5c and Ti5c–O2c are 3.86 and 1.85 Å, respectively. The TiO2(100) facet exhibits a stepped structure with O2c, O3c, and Ti5c in the first layer. While the Ti5c–O2c distance is similar to that of TiO2(101) at 1.86 Å, the Ti5c–Ti5c distance is much shorter, i.e., 3.08 Å. The TiO2(001) facet shows a nearly flat surface, with O2c, Ti5c and O3c in the first, second and third layers, respectively. The Ti5c–O2c–Ti5c angle is 153°, the shortest distance of Ti5c–Ti5c is 3.86 Å while the shortest distance of Ti5c–O2c is longer (1.99 Å) compared to other facets. Such a unique surface configuration places stress on the Ti5c–O2c bond and makes the O2c very reactive. These varied surface configurations result in the density of Ti5c–O2c pair on TiO2(101), (100) and (001) facets being 5.08, 5.49, and 6.70 nm−2, respectively, which imply the (001) surface has the highest density of the acid–base pair in terms of surface area.
![]() | ||
Fig. 1 Surface configuration of the (101), (100), and (001) facets of TiO2. Light blue and red spheres are Ti and O atoms, respectively. The distances in the figure are given in Å.31 |
The estimated surface energies are 0.77, 0.87 and 1.41 J m−2 for TiO2(101), (100) and (001), respectively, indicating the (001) facet is less stable,32 which is in agreement with the longer Ti5c–O2c distance for the (001) facet. Also, the longer Ti5c–O2c distance may also make the formation of oxygen vacancies facile. Indeed, the oxygen vacancy formation energies of TiO2(101), (100) and (001) facets are 3.48, 3.32 and 2.80 eV, respectively,33 which are in line with the surface energies and point to the lower stability the easier formation of oxygen vacancies. The density of surface oxygen vacancies will change the surface configuration and influence the acid–base property of adjacent Ti–O pairs, which may eventually affect the reactions mediated on the Ti–O pair. Moreover, varied surface reactivity will also influence the H2O adsorption when the catalyst is exposed to atmosphere in the presence of H2O. It has been reported that the reactive Ti5c–O2c on TiO2(001) favors dissociative adsorption of H2O, while the less reactive pair on the TiO2(101) facet favors molecular adsorption of H2O.34–37 Apparently, the dissociated H2O occupies the original Ti5c–O2c pair, and thus alters the acid–base properties of the occupied Ti–O pair and adjacent unoccupied Ti–O pairs, which eventually would influence the reactions mediated by the acid–base pair.
The Ce and O atoms in the bulk CeO2 are coordinatively saturated with 8 O and 4 Ce (Ce8c and O4c), respectively. As illustrated in Fig. 2, the (110) facet shows O3c and Ce6c atoms in the topmost layer. In comparison, both (111) and (100) facets show a sawtooth-like configuration. The (111) facet contains O3c and Ce7c in the first and second layers, respectively. Note that half of the O atoms in the outmost layer were removed from the (100) facet to achieve a stable surface. As a result, the (100) facet shows O2c and Ce6c in the first and second layers, respectively.
![]() | ||
Fig. 2 Surface configuration of the (110), (111), and (100) facets of CeO2. Light blue and red spheres are Ce and O atoms in the first layer, respectively. Light blue and brown spheres are Ce and O atoms in the second and third layers, respectively. The distances in the figure are given in Å.41 |
Although the bond lengths of Ce–O pairs and the shortest distances of Ce–Ce pairs do not differ much among these facets, the differences in geometrical configuration (Fig. 2) result in a change in the distribution and density of Lewis acid–base pairs. The densities of Ce atoms per nm2 surface on (110), (111), and (100) are 4.78, 7.81, and 6.64, respectively, indicating that the (111) facet exhibits the highest density of Lewis acid sites.42,43 The energies for the formation of oxygen vacancies on CeO2(110), (111) and (100) facets are determined to be 2.69, 3.30 and 2.97 eV, respectively,44 which imply that the (110) facet may have the highest density of oxygen vacancies. The presence of oxygen vacancies may further affect the acid–base properties of different facets.45–47
Dehydration of alcohols to olefins is a typically acid-catalyzed reaction. Two mechanisms, i.e., E1 and E2, have been proposed for dehydration (Fig. 3).63–65 The E1 reaction mechanism involves the stepwise cleavage of the C–OH and C–H bonds, which can further be classified as E1 (C–OH cleavage first) and E1cb (C–H cleavage first). Differently, the E2 mechanism assumes that the C–O and C–H bonds are cleaved simultaneously. Metal oxide catalysts have been widely investigated for this reaction66–68 and were suggested to follow the E2 mechanism, in which Lewis acid sites (metal cations) act as the active centers when paired with vicinal basic surface O atoms or OH groups.66,69
![]() | ||
Fig. 3 E1 and E2 mechanisms involved in the dehydration of isopropanol.69 |
To study the reaction process at the atomic level, Lin et al. studied the dehydration of 2-propanol over anatase TiO2 with dominant exposure of (101) and (001) facets, respectively.70 Kinetic experiments indicated that the (101) facet is more active toward dehydration over the (001) facet, and the former facet shows much lower activation energy than the latter one (131 ± 8 vs. 267 ± 46 kJ mol−1). Temperature programmed desorption (TPD) of NH3 and diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) of pyridine adsorption results collectively demonstrated that the acid density is higher on the (101) facet (1.14 sites per nm2) than on the (001) facet (0.72 sites per nm2). The TPD of pyridine in IR also indicated the stronger Lewis acidity of the (101) facet than that of the (001) facet. The DRIFTS of 2-propanol adsorption showed the adsorption configuration is strongly dependent on the facet exposed. The (101) facet favors molecular adsorption, while the (001) facet favors dissociative adsorption. Further, theoretical density functional (DFT) calculations of 2-propanol dehydration on hydroxylated (101) and (001) facets via the E2 mechanism (Fig. 4) confirmed that the (101) facet has a lower barrier than that of the (001) facet by 39 kJ mol−1. Similarly, when methanol was employed as a probe molecule,9 molecular and dissociative adsorption of methanol were identified on TiO2(101) and (001), respectively. Interestingly, we noted that the measured higher acid density on TiO2(101) than that on TiO2(001)70 disagrees with the theoretically predicted bare facets, which show a higher density of Ti5c on the (001) facet than on the (101) facet. This discrepancy likely results from the presence of H2O on the surface of catalysts under real conditions. For instance, the (001) facet favors the dissociative adsorption of H2O,34–37 which forms –OH groups and occupies the surface Ti–O pairs, resulting in reduced acidity. Indeed, Lin et al. used dissociated H2O-covered (101) and (001) facets to simulate the dehydration of 2-propanol, and this led to good agreement between the simulated activity and experimental results.70
![]() | ||
Fig. 4 Potential energy profiles of 2-propanol dehydration on hydroxylated anatase TiO2(101) and (001).70 |
The conversion of 2-propanol on CeO2 nano crystals was investigated by Sudduth et al.71 The CeO2 nano cubes (CeO2-C) and octahedrons (CeO2-O) with a dominant facet of (100) and (111), respectively, were synthesized and used as catalysts. Characterizations showed that the density of the acid site on CeO2-O is 1.5 times higher than that on CeO2-C, and the acid strength is also stronger on CeO2-O. The densities of the basic site on both samples are similar, but the strength of the CeO2-C is stronger. These differences in acid–base properties affect the conversion of 2-propanol toward different products. The reaction rate of dehydration toward propylene (6 kPa 2-propanol, 270 °C, WHSV = 7.5 h−1) on CeO2-O is 0.0062 μmol m−2 s−1, which is much higher than that on CeO2-C (0.0003 μmol m−2 s−1), whereas CeO2-C shows a higher rate of dehydrogenation toward acetone than CeO2-O (0.0141 vs. 0.0093 μmol m−2 s−1). These results are consistent with the measured acidity and basicity since the dehydration and dehydrogenation are catalyzed by acid and base sites, respectively. Note that the measured stronger basicity of CeO2-C agrees well with the lower coordination number of O on the (100) facet, and the higher acid density of CeO2-O also correlates well with the higher surface dentistry of Ce cations on the (111) facet.
These works clearly indicate that the acid–base property of metal oxides can be tuned by varying the exposed facets. Moreover, the acid–base property can be used to explain the activity and selectivity of the reactions of dehydration and dehydrogenation of alcohols well. One may expect that the unimolecular reaction of dehydration or dehydrogenation only requires one active center, i.e., one acid–base pair, which results in the acid–base property as the predominant factor that affects the activity and selectivity. Note that the measured acid–base property may not always agree with what is theoretically predicted for the pristine facet. Under such circumstances, the presence of surface molecular and/or dissociated H2O under real reaction conditions may be considered to tune the surface acid–base properties of various facets.
![]() | ||
Fig. 5 Possible ketonization mechanism through (a) bidentate propionate and (b) monodentate propionate as active species on CeO2.41 |
TiO2 catalysts with varied crystal phases and facets have been intensively investigated for ketonization of carboxylic acids.74–77 Wang and Iglesia compared the ketonization of C2–4 short-chain carboxylic acids on anatase and rutile TiO272 and found that the ketonization turnover rate on anatase is 5 times higher than that on rutile at 523 K and 1.0 kPa acetic acid. IR results showed that bidentate carboxylate is the major surface species on rutile, whereas monodentate carboxylate is the major one on anatase. In comparison with the activity, it suggests monodentate carboxylate is the more reactive intermediate toward ketonization. Their DFT simulation results demonstrated that the Ti–O pair with moderate acid–base strength is the active site and the distinct surface structures of TiO2(101) and (110) facet (the most stable facets for anatase and rutile, respectively) exert the major surface intermediate. The shorter Ti5c–Ti5c distance of TiO2(110) (0.299 nm) relative to TiO2(101) (0.383 nm) matches better with the O–O carboxylate distance (0.231 nm) and thus stabilizes the bidentate carboxylate better, resulting in the inactive bidentate carboxylate as the dominant species on rutile while active monodentate carboxylate is the dominant species on anatase. Moreover, the longer Ti5c–O2c bond length of the (110) facet than the (101) facet increases the distance between the transition state complex and surface hydroxyl groups, resulting in the absence of hydrogen bonding to stabilize the transition state further. In contrast, the H bonding is present on the (101) facet with a shorter Ti5c–O2c bond length. These differences in surface structures make anatase more active than rutile for ketonization.
Recently, Huang et al. studied the ketonization of propionic acid over anatase TiO2 with dominantly exposed (101), (100) and (001) facets, respectively.31 At 350 °C, the complete conversion of propionic acid on TiO2(001) was achieved at a space time (W/F) of 0.5 h, which is much shorter than 1.2 h for TiO2(101) and TiO2(100) (Fig. 6a). The selectivity of 3-pentanone were close 100% on all three catalysts. The turnover frequency (TOF) of ketonization at 350 °C on TiO2(001) is 185.2 h−1, which is also much higher than that of 71.3 and 51.8 h−1 on TiO2(101) and TiO2(100), respectively. The IR band intensity ratio of monodentate carboxylate to bidentate carboxylate decreased with increasing desorption temperature on all TiO2 catalysts (Fig. 6b), and the decrease rate followed the order TiO2(001) > TiO2(101) > TiO2(100), which suggest the monodentate carboxylate is more reactive than the bidentate one toward ketonization and the TiO2(001) is more active than other facets. The DFT results of fully propionate-covered TiO2 surfaces (Fig. 6c) demonstrated that the shorter Ti5c–Ti5c distance (3.08 Å) of the (100) facet leads to better stabilization of bidentate propionate and makes it the dominant species. In addition, the shorter distance also imposes strong lateral repulsion between the methyl groups of monodentate propionates (Fig. 6b), which may hinder the formation of a C–C coupling transition state for ketonization. Differently, the longer Ti5c–Ti5c distance (3.86 Å) on the (101) and (001) facets reduces the strong lateral repulsion between methyl groups. Notably, C–C coupling on the (101) facet is likely more difficult than on the (001) facet because of the long Ti5c–Ti5c distance (5.45 Å) between the two Ti5c–O3c–Ti5c–O3c rows of (101) facet as well as the steric hindrance resulting from the first layer of O atoms. In contrast, the almost flat surface and square arrangement of the Ti5c centers of the (001) facet impose little steric hindrance, therefore making it more susceptible to C–C coupling.
![]() | ||
Fig. 6 (a) Conversion of propionic acid and selectivity of 3-pentanone on the TiO2 catalysts as a function of W/F. Reaction conditions: Ptotal = 101.325 kPa, Pacid = 4.0 kPa, and T = 350 °C.31 (b) Integral IR band intensities of monodentate propionate and bidentate propionate on TiO2(101), TiO2(100) and TiO2(001), and the monodentate/bidentate propionate ratio as a function of desorption.31 (c) DFT-determined monodentate and bidentate propionates at full coverage on TiO2(101), (100), and (001) surfaces (PBE + D3). The side and top views are shown in the top and bottom rows, respectively. Light blue, red, gray, and white spheres are Ti, O, C, and H atoms, respectively. The distances in the figure are given in Å. Ti and O atoms and Ti–O bonds in the lower layers are simplified as lines.31 |
CeO2 is another attractive catalyst for the ketonization reaction.78–80 Through the synthesis of CeO2 with different nano-shapes, Guo et al. investigated the effect of CeO2 facets on the ketonization of propionic acid.41 The conversion of propionic acid at a space time of 0.05 h on the CeO2 nano rods (CeO2-R mainly exposing (110) facet) is much higher than that on nano octahedrons (CeO2-O mainly exposing (111) facet), and nano cubes (CeO2-C mainly exposing (100) facet) at 250–400 °C (Fig. 7a). Specifically, the propionic acid conversions on CeO2-R, CeO2-O, and CeO2-C at 350 °C are 65.6, 30.7, and 5.6%, respectively. The measured activation energies (Ea) at 330–370 °C are 124.8, 131.9, and 145.2 kJ mol−1 on CeO2-R, CeO2-O, and CeO2-C, respectively (Fig. 7b), which align well with the catalytic activities. Significantly different characteristics of adsorbed intermediates were observed on different CeO2 nano shapes in the IR experiments of propionic acid adsorption and desorption. Although monodentate propionate is a minor surface species relative to the bidentate one, the integral band intensity of monodentate propionate on CeO2-R is 4 times higher than that on CeO2-O and even 10 times higher than that on CeO2-C. This trend agrees well with the activity and therefore implies that the monodentate propionate is the active intermediate toward ketonization. The DFT results of the adsorption of propionic acid on various CeO2 facets (Fig. 8a and b) indicated that the surface coverage of various species is strongly dependent on the fine surface structure of different facets. It is evident that the adsorption energies of both monodentate and bidentate propionates on the (110) facet were not affected by the surface coverages. This can be attributed to O and Ce atoms being in the same layer and Ce atoms loosely arranged on the (110) facet, leading to a slight lateral repulsion between propionates at high coverages. In contrast, although the propionates were slightly stabilized at an intermediate monolayer (ML) coverage of 1/2 on the (111) facet, the monodentate propionate became significantly unstable at high ML coverage of 1. This is due to the tilted surface of the Ce–O pairs, which makes the monodentate propionate occupy more space on the surface. However, the high density of surface Ce cations provides reduced room to accommodate propionate, resulting in strong lateral repulsion between propionates at the high coverages, destabilizing the monodentate propionates. As a result, monodentate propionate on the (110) facet is more favorable than on the (111) facet at high coverages, resulting in higher activity toward ketonization. The unique surface configuration of the (100) facet further disfavors the monodentate adsorption, hence, the lowest ketonization activity. Moreover, the outmost layer O atoms on both (111) and (100) facets of CeO2 may impose steric hindrance for the formation of the C–C coupling transition state, resulting in lower ketonization activity with respect to the (110) facet, which has both O and Ce atoms in the outmost layer.
![]() | ||
Fig. 7 (a) Conversion of propionic acid on the CeO2 catalyst as a function of temperature. Reaction conditions: Ptotal = 101.325 kPa, Pacid = 4.0 kPa, W/F = 0.05 h, and the time on stream is 30 min for each temperature.41 (b) Arrhenius plots of ketonization of propionic acid on CeO2 catalysts. Reaction conditions: T = 330–370 °C, Ptotal = 101.325 kPa, Pacid = 4.0 kPa, and the conversion is <10% by adjusting the space time.41 |
![]() | ||
Fig. 8 (a) DFT-determined monodentate and bidentate propionate on CeO2(110), (111), and (100) surfaces (PBE + D3). The side and top views are shown in the top and bottom rows, respectively. Light blue, red, gray, and white spheres are Ce, O, C, and H atoms, respectively. The distances in the figure are given in Å. Ce and O atoms and Ce–O bonds in the lower layers are simplified as lines. The acid coverage (θacid) is defined as the ratio of adsorbed propionate (nacid) to exposed Ce–O sites (nCe–O): θacid = nacid/nCe–O (ML). The full coverage of monodentate and bidentate propionate is 1 and 1/2 ML, respectively, on both (110) and (111) surfaces. The full coverage of monodentate and bidentate propionate is 1/4 and 1/8 ML on the (100) surface, respectively.41 (b) Adsorption energy of monodentate propionate and bidentate propionate at different coverages on CeO2(110) and (111) surfaces.41 |
Note that the ketonization activity on neither TiO2 nor CeO2 with different exposed facets can be simply correlated with the acid–base properties.31,41 This is likely due to the acid and base sites influencing different elementary steps of ketonization and their effects may cancel each other. Consequently, the fine surface configuration structure of various facets becomes the dominant factor, which influences the adsorption structure of the reactant, the coverage of the intermediate, as well as the reactivity of the intermediate toward ketonization. In particular, one may expect that the fine configuration factors, such as the metal cation distances and the location of surface metal and O atoms in the same or different layers, may influence the ease of formation of the C–C coupling transition state from two adsorbed intermediates on adjacent surface metal cations. Thus, the fine surface configuration structure may play a crucial role in the bimolecular C–C coupling reaction.
![]() | ||
Fig. 9 Proposed elementary steps of acetone aldol condensation on TiO2.85 |
Lin et al. investigated the conversion of acetone on TiO2 catalysts at 523 K85 and found that the aldol condensation rate on TiO2 with the dominant (001) facet is ∼1.5 times higher than that on TiO2 with the dominant (101) facet (Fig. 10a). Also, the Ea derived from Arrhenius plots on TiO2(001) is lower than that on TiO2(101) (69 ± 4 and 109 ± 1 kJ mol−1). Kinetic isotope effect experiments indicated that the C–C coupling step is the rate-limiting step. The authors built H2O-covered TiO2 facet models to simulate the aldol condensation process via DFT. Under such circumstances, the C–C bond formation takes place between an enolate on the surface Ti cation and another acetone bonded at the surface hydroxyl group on TiO2 (Fig. 10b). The potential energy profiles illustrated that TiO2(001) has a much lower barrier of C–C coupling than TiO2(101) (50 vs. 120 kJ mol−1). The authors attributed this difference to both acid–base properties and geometric structure. On the one hand, the C–C coupling step requires proton transfer from the surface hydroxyl group to the aldol precursor, followed by partial desorption to form the adsorbed aldol. The weaker Lewis acid and Brønsted base strengths of the (001) facet facilitate proton transfer and desorption, thereby enhancing the C–C coupling step on the (001) facet. On the other hand, compared with the (101) facet, the (001) facet has a smoother surface configuration and thus imposes little steric hindrance for intermolecular C–C coupling, which leads to a lower barrier on the (001) facet.
![]() | ||
Fig. 10 (a) Rates for acetone aldol condensation on TiO2(101) + Cu/SiO2(1![]() ![]() ![]() ![]() |
CeO2 with varying facets has also been investigated for aldol condensation of ketone. Li et al. examined the aldol condensation of cyclopentanone to the dimeric product 2-cyclopentylidenecyclopentanone on CeO2 nano-shapes at 200 °C and 200 psi.86 The condensation rate with a cyclopentanone concentration of 1.5 mol L−1 for CeO2-R was 168.5 mmol gcata−1 h−1, whereas they were only 10.9 and 23.9 mmol gcata−1 h−1 for CeO2-C and CeO2-O, respectively (Fig. 11a). Moreover, kinetic fittings demonstrated that the reaction rate on CeO2-R can be fitted with the first-order Langmuir–Hinshelwood (L–H) model, whereas CeO2-C and CeO2-O match the second-order L–H model (Fig. 11b). The authors suggested that such different kinetic behaviors are related to the surface fine configuration structure. That is, the first layer of O atoms on the (100) and (111) facets may impose steric hindrance for intermolecular C–C coupling. Consequently, the overall aldol condensation rates on CeO2-C and CeO2-O are controlled by the C–C coupling step, which follows the second-order reaction kinetics. In contrast, the outmost layer contains both Ce and O atoms in the (110) facet of CeO2-R, which imposes little steric hindrance for the intermolecular C–C coupling step. Thus, the C–C coupling is unlikely to be the rate-limiting step. Instead, the reaction may be limited by the α-H abstraction step and therefore shows a first-order kinetic behavior.
![]() | ||
Fig. 11 (a) Cyclopentanone condensation rates on CeO2 nanoshapes with respect to the initial concentration of cyclopentanone at 200 °C and 200 psi. (b) Reaction rate data at 200 °C and 200 psi fitting from the first-order Langmuir–Hinshelwood model, second-order Langmuir–Hinshelwood model and second-order Eley–Rideal model, respectively.86 |
Similar to the conversion of ketones, the aldol condensation reaction can also be used to convert aldehydes, producing a longer chain α,β-unsaturated aldehyde. As the reaction mechanisms for the aldol condensation of ketones and aldehydes are the same, metal oxides can be applied for the conversion of aldehydes. The effect of crystal facets on the aldol condensation of aldehydes has also been studied. Mann et al. studied the adsorption and coupling of acetaldehyde to crotonaldehyde over different CeO2 nanoshapes (wires (110), cubes (100) and octahedrons (111)).87 The conversion of acetaldehyde decreased following the order of wires > cubes > octahedrons at both 300 and 400 °C (Fig. 12a and b). Specifically, the initial acetaldehyde conversion was >90% on wires at 400 °C, which was much higher than that of cubes (∼60%) and octahedrons (∼40%). The authors suggested that the lower coordination number of surface O atoms on (100) in comparison to (111), i.e., the O2c and O3c on (100) and (111), respectively, favor α-H abstraction (enolization) and thus facilitates the aldol condensation reaction. In addition, the authors also implied that the highest density of oxygen vacancy in wires, resulting from the lowest oxygen vacancy formation energy on the (110) facet, led to more active sites for enolization,88,89 and therefore, the highest activity on the (110) facet. It should be noted that the higher activity on (110) and (100) facets also led to higher selectivity toward side products, particularly at a higher reaction temperature of 400 °C, while the (111) facet showed higher stability and higher selectivity of crotonaldehyde. Despite the authors ascribing the activity difference to the acid–base property and density of oxygen vacancy, one may anticipate that the surface configuration structure also affects the activity. That is, the almost flat surface with both Ce and O in the outmost layer of (110) imposes little steric hindrance on the intermolecular C–C coupling, resulting in the highest activity.
![]() | ||
Fig. 12 Conversion of acetaldehyde in a gas stream of 0.5% acetaldehyde/He on CeO2 cubes, wires, and octahedrons with respect to the reaction time at (a) 400 °C and (b) 300 °C.87 |
Metal oxides | Morphologies | Structural parameters | Exposed crystal facets | Ref. |
---|---|---|---|---|
Anatase TiO2 | Nano bipyramid | ∼15 nm in length, 12 nm in width | 97.6% (101) and 2.4% (001) | 31 |
80–125 nm in length, 30–50 nm in width | 90% (101) and 10% (001) | 70 | ||
∼60 nm in length, 30 nm in width | 98% (101) and 2% (001) | 85 | ||
30–50 nm in length, 20–30 nm in width | >90% (101) and <10% (001) | 9 | ||
Anatase TiO2 | Nano sheets | ∼64 nm in width, 8 nm in thickness | 72.6% (001) and 27.4% (101) | 31 |
150–200 nm in width, 40–60 nm in thickness | 76% (001) and 24% (101) | 70 | ||
∼400 nm in width, 150 nm in thickness | 65% (001) and 35% (101) | 85 | ||
∼250 nm in width, 125 nm in thickness | 46% (001) and 54% (101) | 9 | ||
Anatase TiO2 | Nano rods | ∼28 nm in length, 9 nm in width | 77.8% (100), 19.3% (101) and 10% (001) | 31 |
70 nm in length, 15 nm in width | 78.8% (100), 20.2% (101) and 1.0% (001) | 30 | ||
∼29 nm in length, 12 nm in width | 72% (100), others are (101) and (001) | 105 | ||
Anatase TiO2 | Nano belts | 60–400 nm in width, 0–30 μm in length and ∼10 nm in thickness | Major (101) and minor (010) | 98 |
Anatase TiO2 | Micro spheres | ∼1.5 μm in radius | Major (001) and minor (101) | 99 |
Anatase TiO2 | Micro polyhedrons | ∼2.4 μm in length, ∼1.2 μm in thickness | Major (105) and minor (101) | 100 |
Anatase TiO2 | Nano needles | ∼350 nm in length, 30 nm in width | 67% (401) and 33% (201) | 101 |
Cubic CeO2 | Nano octahedrons | ∼15 nm in length and width | (111) | 41 |
Cubic CeO2 | Nano rods | ∼100 nm in length, 11 nm in width | (100) and (110) | 41 |
∼100 nm in length, 5–10 nm in width | (100), (110) and (111) | 106 | ||
∼200 nm in length, 5–10 nm in width | Major (111) and minor (110) | 107 | ||
100–300 nm in length, 12–20 nm in width | Major (111), (100) and minor (110) | 94 | ||
Cubic CeO2 | Nano cubes | ∼20 nm in length and width | Major (100) and minor (111) | 41 |
Cubic CeO2 | Nano wires | Several μm in length, ∼15 nm in diameter | (200) | 102 |
Cubic CeO2 | Nano tubes | Several μm in length, 5–30 nm in diameter | (111) | 103 |
∼100 nm in length, 15–25 nm in diameter | 104 |
Notably, besides the morphology, the crystal size of metal oxide nanocrystals is also a key factor that determines the surface property of metal oxides. It is apparent that altering the size of a certain nanocrystal will affect the structural parameters, such as the fraction of exposed facets. Take TiO2 nano sheets as an example (Table 1), it is clear that the fraction of exposed crystal facets varied as a function of crystal size reported in different works. Moreover, it has been demonstrated that the concentration of oxygen vacancies varied when the crystal size was changed.108–110 Hence, developing a method to precisely synthesize nanocrystals with the target morphology and size is crucial for crystal-facet engineering as well as application in various reactions.
Doping an appropriate amount of metal (oxide) into the lattice of CeO2 or TiO2 can form a solid solution without altering the crystal structures and morphologies. This approach has been proven to be an effective method for surface modification. Even a small amount of metal doping can alter the electronic structure and surface properties of the crystal facets. The disparity between the ionic radius of doped metal ions and host ions (Ce4+ or Ti4+) results in the formation of Ce(Ti)–O–M local structures within the crystal lattice.111 These local structures induce lattice strain, which favors the formation of more oxygen vacancies, enhances ionic mobility and influences catalytic activity, selectivity, and stability. Liu et al. synthesized Zr-doped CeO2 nano rods with different Zr/Ce ratios for dimethyl carbonate (DMC)synthesis from CO2 and methanol (CO2 + 2CH3OH → CH3OCOOCH3 + H2O).112 The authors suggested that the formation of DMC occurs through coupling two CH3OH (breaking the C–O and O–H bonds, respectively) with a CO2 adsorbed on the oxygen vacancy, and the activity is influenced by the abundance of surface oxygen vacancies. Compared with CeO2 nano rods, the activity of Zr-doped CeO2 nano rods with the highest amount of oxygen vacancies increased by ∼50%.
Loading metals or metal oxides on TiO2 or CeO2 with predominately exposed facets is also an attractive approach to surface modification, which creates an interface and tunes metal–support interactions.105,113–115 This kind of surface modification is widely explored for a variety of reactions. For example, Wu et al. loaded Pt on TiO2 with different dominant exposed facets and found that the degree of strong metal–support interaction (SMSI) decreases following the order of Pt/TiO2(100) > Pt/TiO2(001) > Pt/TiO2(101).105 The maximum density of interfacial Pt–Ov–Ti3+ sites was achieved on TiO2(001) with medium SMSI, resulting in the highest reaction rate for hydrodeoxygenation of m-cresol to toluene. Si et al. loaded Au on CeO2 rods, cubes and polyhedrals, which were used for investigating the water gas shift (WGS) reaction (CO + H2O ↔ CO2 + H2).115 They demonstrated that the CeO2 rods with mainly exposed (110) have the highest density of oxygen vacancies, which facilitate anchoring and dispersing Au clusters, resulting in the highest WGS activity.
In addition, modification of metal oxide nanostructures via different treatments, such as chemical modification, plasma treatment modification and irradiation modification,116 to create defect sites is also possible. For instance, Gao et al. developed a redox chemical etching method to regulate the surface properties of CeO2 nano rods (with mainly CeO2(110) facets).117 The etched nano rods enhanced the specific surface area, density of oxygen vacancies and surface Ce3+, which promote O2 adsorption and activation at the oxygen vacancies and thus improve the performance of CO oxidation. Yang et al. performed plasma treatment of CeO2 nano flakes (mainly (111) facet) using Ar, H2, O2, and NH3 and showed that the enhancement in density of surface Ce3+ and oxygen vacancies is more favorable when the reducing plasma atmosphere is applied.118 E. Krumov et al. employed excimer laser processing to modify the surface of CeO2(111) thin films, leading to an oxygen-deficient CeO2 surface via reduction.119
Crystal-facet engineering represents an attractive approach for integrating experimental and theoretical works, offering a reliable basis for refining theoretical modelling and identifying reaction pathways. It can further be combined with surface engineering, such as loading noble metals, doping second metals and introducing defects, to design optimal catalysts. Hence, crystal-facet engineering represents a frontier in reaction chemistry and catalysis engineering. Despite extensive scientific interest as well as significant advantages of crystal-facet engineering, the synthesis of nano crystals with predominantly exposed facets and a comprehensive understanding of the facet of metal oxide-mediated reactions from both experimental and theoretical aspects remain limiting. Significant obstacles still exist in developing advanced catalysts via crystal-facet engineering. These challenges reflect the complexities and difficulties involved in optimizing reaction performance through crystal-facet engineering. In the future, the following aspects deserve further investigation.
(1) Development of novel synthesis methods to precisely control the percentage of a specific facet and the crystal size of nanocrystal catalyst. Although the synthesis of nano crystal catalyst with predominantly exposed facet is not the focus of this perspective, precisely controlling the predominantly exposed facet, particularly for those with high surface energies, is a crucial aspect in crystal-facet engineering. For example, during the synthesis of TiO2 nano crystals with a predominant (001) facet, the (101) facet was also introduced simultaneously.9,70 Thus, developing simple preparation methods to improve the fraction of the target facet is highly desirable to minimize the contribution of other facets on the catalytic performance and can provide a more clear and accurate facet dependent structure–activity relationship. Moreover, the advanced method that can precisely control the crystal size of nanocrystals is also highly desirable.
(2) Application of in situ techniques to monitor crystal facets under reaction conditions. The possible surface reconstruction under real conditions may alter the surface fraction of exposing facets and thus may render an unreliable correlation between the facet and activity performance. Surface reconstruction is currently largely ignored in crystal facet engineering studies. Thus, it is necessary to in situ monitor the facets of nano crystal catalysts under real reaction conditions and to exclude the contribution from reconstructed facets. To this end, the application of in situ technology is essential. The in situ infrared technique coupled with a probe molecule is well established. Meanwhile, it is anticipated that near-ambient-pressure X-ray photoelectron spectroscopy (XPS), near-ambient-pressure scanning or transmission electron microscopy (SEM/TEM) and in situ low-energy ion scattering (LEIS) may play an important role in the future research.
(3) Application of advanced theoretical simulation methods. First-principles DFT calculations have become fundamental for studying catalytic processes on various surfaces. Under real reaction conditions, the surface composition and structure of catalysts are highly complex, such as the presence of defects (oxygen vacancies), surface H2O and hydroxyl groups, and dynamic changes of the active site. To address these challenges, the application of more advanced theoretical methods is essential. The dynamics simulations and machine learning are promising avenues for advancing the understanding of metal oxide facet-dependent reactions.
(4) Understanding the metal oxide facet-dependent structure–activity relationship. Crystal-facet engineering provides a powerful approach to exploring the structure–activity relationships of reactions mediated by metal oxide catalysts. However, the accurate understanding of the facet-dependent structure–activity relationship is limited by the heterogeneity of the synthesized nano crystal catalyst and the real surface structure of the facet under reaction conditions, i.e., the presence of oxygen vacancies and surface H2O and the reconstruction of facets. Therefore, it is imperative to investigate the structure–activity relationships via crystal-facet engineering through the implementation of advanced synthesis methods, in situ characterization techniques, as well as advanced theoretical calculation methods. This is of great importance for the rational design of metal oxide catalysts for various reactions via crystal-facet engineering.
(5) Exploration of other facet-dependent descriptors to correlate with catalytic reaction performance. In this perspective, we mainly discussed the facet-dependent acid–base property and geometrical configuration, as well as its relationship with catalytic performance. These facet-dependent factors can be determined from both experimental or computational techniques. Some other facet-dependent descriptors, such as density of oxygen vacancies, density of surface H2O or –OH groups, electronic structure, and coordination number, may be further explored and correlated with various reactions mediated by metal oxides, which may facilitate the rational design of metal oxide catalysts for various reactions beyond the conversion of oxygenates.
In conclusion, crystal-facet engineering of metal oxides offers promising avenues for reaction chemistry and catalytic reaction engineering mediated by metal oxides, which is particularly suitable for the conversion of biomass-derived oxygenates. However, significant challenges remain and deserve further investigation on the rational design of metal oxide catalysts and the mediated reactions and processes.
This journal is © The Royal Society of Chemistry 2025 |